Decode Python Packages

python-benedict

:blue_book: dict subclass with keylist/keypath support, built-in I/O operations (base64, csv, html, ini, json, pickle, plist, query-string, toml, xls, xml, yaml), s3 support and many utilities.

pilk

python silk codec bindings 支持微信语音编解码

time-decode

A timestamp and date decoder written for python 3

base64-no-upper-case

Base64, but no UPPER CASE.

pyaadhaar

This library is built to ease the process of decoding aadhaar QR codes and XML. It supprts old aadhaar QR codes , newly released Secure aadhaar QR codes and also Offline e-KYC XML. This library also can decode QR codes with Opencv. This library bundled with all the features to verify user\'s Email Id and Mobile Number & also to extract the photo of user.

morsecodepy

Easily Encode & Decode Morse Code

base36py

A lightweight Python library for encoding and decoding numbers between base10 and base36.

ddccryptography

Encode and Decode strings with Cryptography

pylibde265

Decode HEVC(H.265) video in python \\ 在python中解码HEVC(H.265)视频

mycaesarcipher

Substitution-based cryptographic cipher for encoding plaintext. Works with alphanumeric characters.

hyperjson

🐍 A hyper-fast Python module for reading/writing JSON data using Rust's serde-json.

decodify

An advanced package to detect encoding algorithms and decode messages.

hashily

🍀 hashily is your go-to utility tool for effortlessly performing diverse text encoding and decoding tasks.

dec64

Recursively decode Base64 encoded strings.

simctg

[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation

asn1play

Backend app of https://amenitypj.in/asn1Play https://impratikjaiswal.github.io/asn1Play

cryptrooper

Cryptrooper is a module that can encode and decode your text with a given key.

media-fixer

A wrapper around ffmpeg to make it work in a concurrent and memory-buffered fashion.

obscure64

This is a base64 based encoder/decoder tool mainly used to obscure base64 encoding to make your data transfer more secure and interesting.

simctgbeta

[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation